Combining Biomarkers and Electronic Risk Scores to Predict AKI in Hospitalized Patients

Description

The study's objective is to evaluate the additive value of renal biomarkers (from blood and urine) for identifying individuals at high risk for severe acute kidney injury (AKI) above that of a novel natural language processing (NLP)-based AKI risk algorithm. The risk algorithm is based on electronic health records (EHR) data (labs, vitals, clinical notes, and test reports). Patients will enroll at the University of Chicago Medical Center and the University of Wisconsin Hospital, where the risk score will run in real time. The risk score will identify those patients with the highest risk for the future development of Stage 2 AKI and collect blood and urine for biomarker measurement over the subsequent 3 days.

Conditions

Acute Kidney Injury, Biomarkers

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Study Overview

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Study Details

Study overview

The study's objective is to evaluate the additive value of renal biomarkers (from blood and urine) for identifying individuals at high risk for severe acute kidney injury (AKI) above that of a novel natural language processing (NLP)-based AKI risk algorithm. The risk algorithm is based on electronic health records (EHR) data (labs, vitals, clinical notes, and test reports). Patients will enroll at the University of Chicago Medical Center and the University of Wisconsin Hospital, where the risk score will run in real time. The risk score will identify those patients with the highest risk for the future development of Stage 2 AKI and collect blood and urine for biomarker measurement over the subsequent 3 days.

Combining Biomarkers and Electronic Risk Scores to Predict AKI in Hospitalized Patients

Combining Biomarkers and Electronic Risk Scores to Predict AKI in Hospitalized Patients

Condition
Acute Kidney Injury
Intervention / Treatment

-

Contacts and Locations

Chicago

University of Chicago Medical Center, Chicago, Illinois, United States, 60637

Madison

University of Wisconsin Hospital, Madison, Wisconsin, United States, 53792

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

For general information about clinical research, read Learn About Studies.

Eligibility Criteria

  • 1. Age ≥ 18 years
  • 2. E-STOP AKI 2.0 score in the top 10% of risk (historically from all hospitalized patients) within the last 12 hours. (First time across this 10% risk threshold during this hospital stay).
  • 3. Admitted to an inpatient ward, intermediate, or ICU care at the University of Chicago Medical Center (UCMC) or University of Wisconsin Health (UWHealth). (No Emergency Department patients)
  • 4. Patient or their legally authorized representative must be able to read, speak, and understand English, for the purposes of consenting. Otherwise, inclusion in this protocol will be done without regard to race, ethnic origin or gender
  • 1. Voluntary refusal or missing written consent of the patient / legal representative.
  • 2. Patients with a known history of end-stage renal disease on dialysis (including renal transplantation).
  • 3. Patients without a measured serum creatinine value during their inpatient stay.
  • 4. Patients with a creatinine \>4.0 mg/dl at the time of admission or available in the EHR from the last 6 months
  • 5. Patients with prior episode of KDIGO defined AKI during this same hospitalization- regardless of E-STOP AKI 2.0 score
  • 6. Patients with prior renal consultation during their admission.
  • 7. Patient with an E-STOP AKI 2.0 above the top 10% risk threshold more than 12 hours ago during this same hospital stay.
  • 8. Incarcerated patients
  • 9. Pregnant patients

Ages Eligible for Study

18 Years to

Sexes Eligible for Study

ALL

Accepts Healthy Volunteers

No

Collaborators and Investigators

University of Chicago,

Jay Koyner, MD, PRINCIPAL_INVESTIGATOR, University of Chicago

Matthew Churpek, MD,MPH,PhD, PRINCIPAL_INVESTIGATOR, University of Wisconsin, Madison

Study Record Dates

2028-03-01